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Matchday
All matches

Presets

In-form home v struggling away
UK 3pms
Watchlist
Tracking
Insights

Explore

Markets
Leagues

Learn

Features
Blog
Sydney logo
A-League

Sydney

OverviewMatchesStats

At a glance

Based on
Full matches30
Recent matches5
Best-fit markets
Goal in 2H
83%
Last 5: 100%
Scored In
67%
Last 5: 80%
Over 1.5
63%
Last 5: 60%
Win
40%
Last 5: 20%

Full Time Result

Win

Down 20 pts
Season
12/30
40%
Last 5
1/5
20%

Draw

Up 33 pts
Season
8/30
27%
Last 5
3/5
60%

Lose

Down 13 pts
Season
10/30
33%
Last 5
1/5
20%

Points

Points per game

Down 0.27
Season
30 matches
1.47
Last 5
5 matches
1.20

Both Teams To Score

BTS

Up 23 pts
Season
11/30
37%
Last 5
3/5
60%

BTS & Win

Down 10 pts
Season
3/30
10%
Last 5
0/5
0%

BTS & Lose

Down 10 pts
Season
3/30
10%
Last 5
0/5
0%

Goals

Average goals scored

Down 0.20
Season
30 matches
1.20
Last 5
5 matches
1.00

Average goals conceded

Up 0.07
Season
30 matches
0.93
Last 5
5 matches
1.00

Over 1.5

Down 3 pts
Season
19/30
63%
Last 5
3/5
60%

Over 2.5

Down 17 pts
Season
11/30
37%
Last 5
1/5
20%

Over 3.5

Up 3 pts
Season
5/30
17%
Last 5
1/5
20%

Scored in

Up 13 pts
Season
20/30
67%
Last 5
4/5
80%

Conceded in

Up 20 pts
Season
18/30
60%
Last 5
4/5
80%

Clean sheets

Down 20 pts
Season
12/30
40%
Last 5
1/5
20%

Intervals

Goal in 1H

Down 37 pts
Season
11/30
37%
Last 5
0/5
0%

Goal in 2H

Up 17 pts
Season
25/30
83%
Last 5
5/5
100%

Win 1H

Down 10 pts
Season
3/30
10%
Last 5
0/5
0%

Lose 1H

Down 13 pts
Season
4/30
13%
Last 5
0/5
0%

Win 2H

Down 20 pts
Season
12/30
40%
Last 5
1/5
20%

Lose 2H

Down 7 pts
Season
8/30
27%
Last 5
1/5
20%

Both scored in BH

Flat
Season
0/30
0%
Last 5
0/5
0%

Result analysis

12 wins
Home
Away
5
7
v Higher
3
9
v Lower
8 draws
Home
Away
5
3
v Higher
4
4
v Lower
9 losses
Home
Away
4
5
v Higher
2
7
v Lower

Day by day

Stat

Overall

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

Sunday

Matches played

30

1

2

0

1

1

20

5

Home Win

37%

100%0%0%0%100%40%20%

Draw

27%

0%50%0%100%0%25%20%

Away Win

37%

0%50%0%0%0%35%60%

BTS

37%

0%50%0%0%100%35%40%

BTS & Win

20%

0%0%0%0%100%20%20%

Over 1.5

63%

100%50%0%0%100%60%80%

Over 2.5

37%

100%0%0%0%100%35%40%

Over 3.5

17%

100%0%0%0%0%15%20%

Stats breakdown

Sydney stats 

Use this page to test whether the main patterns around Sydney still hold when you move beyond the headline view and into deeper team stats.

How to use this stats page

Use this page when you want a denser read on Sydney. Start with the best-fit markets and sample context, then move through the stat groups to see whether the same pattern holds across results, goals, and timing splits.

The result-analysis blocks below are there to help you test whether the headline stats still make sense when you look at wins, draws, and losses separately.

Page guide

What this page is showing

This page currently uses 30 Sydney matches from A-League to calculate the team stat groups, best-fit markets, and result analysis shown here.

Current scope

Freshness and methodology

Satdee updates this public stats page as match data changes. Treat the rates and labels as research context rather than predictions, then cross-check the relevant fixtures and wider league environment before you rely on a single signal.

Data quality

Research next

Move from a team page to a watchlist you can explain

  1. Start with the strongest stat groups and best-fit markets.
  2. Check whether the same signal still holds on the matches page and in the league context.
  3. Use the wider market pages only after the team-level pattern still looks coherent.
  4. Return to the Satdee matchday calendar and keep only the fixtures that still make sense.

Continue from here

  • Open the Satdee matchday calendar
  • Open Sydney overview
  • Review Sydney matches
  • Open the league page
  • Compare market pages

FAQ

Questions users usually ask next 

A few quick answers about what this team page is showing, how to use it in the Satdee workflow, and where to go next.

Why use Sydney stats instead of the overview alone?

Sydney stats breaks the team into deeper rate-based groups and result analysis, which is more useful when you want to understand whether the broad overview still holds under closer inspection.

What should I do after finding a useful signal here?

Check the matches page and the wider league context, then return to the Satdee matchday calendar if the upcoming fixture still fits the angle you want to follow.